Provocation talk given by David De Roure at the e-Science Institute, Edinburgh, 19 November 2007 as part of the ESI Strategic Advisory Board Workshop or "e-Science Think Tank"
Introduction: Jukka Huhtamäki | Dagstuhl 16141Jukka Huhtamäki
Introduction: Jukka Huhtamäki
Dagstuhl Seminar 16141: Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies
03. – 08. April 2016
http://www.dagstuhl.de/16141
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
Keynote talk at the 2021 Australasian Conference on AI. A summary of Australia's global standing in AI, a bit of history, and where Australian AI is going next
AI and Social Justice: From Avoiding Harms to Positive ActionAlan Dix
Talk at The AI Summit New York, 8th Dec. 2021.
https://www.alandix.com/academic/talks/AI-Summit-NY-2021-AISJ/
AI and in particular large data machine learning are transforming many areas of society including healthcare, education, and finance. At their best these offer the potential to improve society, for example, finding new pharmaceuticals. However, they may also reproduce or reinforce existing divisions and inequalities as well as creating new problems. This has been evident in high-profile news items such as the case of racial discrimination in facial recognition systems used in policing. However, some of the deepest problems in unequal access to technology are still to be fully felt.
Fortunately, AI can also be used positively to address issues of social injustice, for example human-rights organisations scanning public domain images for evidence of abuse, or software using adversarial techniques to reduce bias in training data. At best some companies and institutions are addressing these issues proactively, seeking ways to ensure they prevent or detect problems before they happen, for others this may be a rear-guard action to fix problems that have already emerged.
In this talk we will present a high-level landscape of the ways on which AI interacts with social justice and illustrate this through examples so that we can take positive action for a fairer world.
Introduction: Jukka Huhtamäki | Dagstuhl 16141Jukka Huhtamäki
Introduction: Jukka Huhtamäki
Dagstuhl Seminar 16141: Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies
03. – 08. April 2016
http://www.dagstuhl.de/16141
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
Keynote talk at the 2021 Australasian Conference on AI. A summary of Australia's global standing in AI, a bit of history, and where Australian AI is going next
AI and Social Justice: From Avoiding Harms to Positive ActionAlan Dix
Talk at The AI Summit New York, 8th Dec. 2021.
https://www.alandix.com/academic/talks/AI-Summit-NY-2021-AISJ/
AI and in particular large data machine learning are transforming many areas of society including healthcare, education, and finance. At their best these offer the potential to improve society, for example, finding new pharmaceuticals. However, they may also reproduce or reinforce existing divisions and inequalities as well as creating new problems. This has been evident in high-profile news items such as the case of racial discrimination in facial recognition systems used in policing. However, some of the deepest problems in unequal access to technology are still to be fully felt.
Fortunately, AI can also be used positively to address issues of social injustice, for example human-rights organisations scanning public domain images for evidence of abuse, or software using adversarial techniques to reduce bias in training data. At best some companies and institutions are addressing these issues proactively, seeking ways to ensure they prevent or detect problems before they happen, for others this may be a rear-guard action to fix problems that have already emerged.
In this talk we will present a high-level landscape of the ways on which AI interacts with social justice and illustrate this through examples so that we can take positive action for a fairer world.
There has been a growing importance of e-journals over the past 10 years or so, with a number of studies indicating that researchers welcome the enhanced and easy access. However relatively few studies have attempted to understand how e-journal usage affects researcher behaviour and how this impacts on research quality and productivity. http://www.rin.ac.uk/our-work/communicating-and-disseminating-research/e-journals-their-use-value-and-impact
Brown, Christopher C. and Michael Levine-Clark, “Does Use of E-Books Impact Use of P-Books?” Electronic Resources & Libraries (ER&L), Austin, Texas, April 4, 2012.
Data Science: History repeated? – The heritage of the Free and Open Source GI...Peter Löwe
Data Science is described as the process of knowledge extraction from large data sets by means of scientific
methods. The discipline draws heavily from techniques and theories from many fields, which are jointly used to
furthermore develop information retrieval on structured or unstructured very large datasets. While the term Data
Science was already coined in 1960, the current perception of this field places is still in the first section of the hype cycle according to Gartner, being well en route from the technology trigger stage to the peak of inflated
expectations.
In our view the future development of Data Science could benefit from the analysis of experiences from
related evolutionary processes. One predecessor is the area of Geographic Information Systems (GIS). The
intrinsic scope of GIS is the integration and storage of spatial information from often heterogeneous sources, data
analysis, sharing of reconstructed or aggregated results in visual form or via data transfer. GIS is successfully
applied to process and analyse spatially referenced content in a wide and still expanding range of science
areas, spanning from human and social sciences like archeology, politics and architecture to environmental and
geoscientific applications, even including planetology.
This paper presents proven patterns for innovation and organisation derived from the evolution of GIS,
which can be ported to Data Science. Within the GIS landscape, three strategic interacting tiers can be denoted: i) Standardisation, ii) applications based on closed-source software, without the option of access to and analysis of the implemented algorithms, and iii) Free and Open Source Software (FOSS) based on freely accessible program code enabling analysis, education and ,improvement by everyone. This paper focuses on patterns gained from the synthesis of three decades of FOSS development. We identified best-practices which evolved from long term FOSS projects, describe the role of community-driven global umbrella organisations such as OSGeo, as well as the standardization of innovative services. The main driver is the acknowledgement of a meritocratic attitude.
These patterns follow evolutionary processes of establishing and maintaining a web-based democratic culture
spawning new kinds of communication and projects. This culture transcends the established compartmentation and
stratification of science by creating mutual benefits for the participants, irrespective of their respective research
interest and standing. Adopting these best practices will enable
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
CODATA International Training Workshop in Big Data for Science for Researcher...Johann van Wyk
Presentation at NeDICC Meeting on 16 July 2014. Feedback from CODATA International Training Workshop in Big Data for Science for Researchers from Emerging and Developing Countries, Beijing, China, 5-20 June 2014
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Arfon Smith
Chief Scientist for GitHub
Open Government/Open Data
What Academia Can Learn from Open Source
Find more by Arfon here: https://speakerdeck.com/arfon
Open Science: how to serve the needs of the researcher? Carole Goble
Open science Jisc CNI roundtable 2018
Lightning talk
What should the future look like?
What are the essential characteristics we desire in a relatively near future system to support scholarly communication across the full research life cycle?
What are the key areas requiring attention, action, or investment today to reach the future that we want to reach?
What are the best opportunities to build upon existing practices, investments and infrastructure, both
open and commercially provided?
Where must alternatives be developed?
What areas are already on good trajectories and can be left to evolve without additional intervention
UK e-Infrastructure: Widening Access, Increasing ParticipationNeil Chue Hong
A talk given at the ICHEC Annual Seminar by Neil Chue Hong, reflecting on the rise of Grid and Web 2.0, and how this might enable increased participation and use of computing infrastructure for e-Science and research.
Keynote talk on "Music in the Archives: Digital Musicology as a case study in Computational Archival Science" by David De Roure, for the workshop on "Computational Archival Science: digital records in the age of big data" at IEEE Big Data 2020, 11 December 2020.
Lightning talk opening the "Building a Digital Research Infrastructure" workshop at The National Archives, 10 January 2020. Based on Nov 2019 DCDC keynote "Digital Scholarship: Intersection, Automation, and Social Machines".
Alter: an ensemble work composed with and about AIDavid De Roure
Alter: an ensemble work composed with and about AI, by David De Roure, Emily Howard,Robert Laidlow, Pip Willcox. Presented at DMRN+14, QMUL, 17 December 2019
Digital Scholarship: Intersection, Automation, and Scholarly Social MachinesDavid De Roure
Keynote talk at DCDC 2019, Birmingham, November 2019. The theme of the conference was "Navigating the digital shift: practices and possibilities". The talk presents six short stories of my journeys in the evolving knowledge infrastructure. Thank you to all my fellow travellers and guides. (The slides all have a black strip of 2 or 3 lines at the top - this was for live captioning.)
Lovelace’s Legacy: Creative Algorithmic Interventions for Live PerformanceDavid De Roure
By David De Roure, Pip Willcox, Alan Chamberlain.
Paper presented at the workshop "The Design of Future Music Technologies: ‘Sounding Out’ AI, Immersive Experiences & Brain Controlled Interfaces" held in conjunction with Audio Mostly 2018 (AM'18), September 12–14, 2018, Wrexham, UK.
https://doi.org/10.1145/3243274.3275380
Experimental Humanities: An Adventure with Lovelace and BabbageDavid De Roure
"Experimental Humanities: An Adventure with Lovelace and Babbage" by David De Roure and Pip Willcox, University of Oxford. Paper presentation at 13th IEEE eScience Conference, Auckland, New Zealand, 25 October 2017.
Abstract: "The development and innovative application of digital research methods in humanities disciplines, characterised as Digital Humanities or e-Humanities, is an established feature of the e-Science and e-Research landscape. Typically these digital methods enable existing research questions to be tackled in new ways, at a scale and speed that transcend manual methods. In this paper we present a different approach to the application of digital techniques to humanities research, a branch of experimental humanities in which digital experiments bring insight and engagement with historical scenarios and in turn influence our understanding and our thinking today. We illustrate this through a series of experiments and demonstrations inspired by the work of Ada Lovelace and Charles Babbage, including simulation of the Analytical Engine, use of a web-based music application, construction of hardware, and reproduction of earlier mathematical results using contemporary computational methods."
Opening keynote talk at 11th eResearch Australasia Conference, Brisbane Convention and Exhibition Centre, 16 – 20 October 2017. Based in part on public lecture "The Imagination of Ada Lovelace" on Ada Lovelace day at ANU, slides co-authored with Pip Willcox.
"The Imagination of Ada Lovelace: An Experimental Humanities Approach" Public Lecture, presented by David De Roure, written by David De Roure and Pip Willcox. Tuesday 10 October 5.00 – 7.00pm in Theatrette, Sir Roland Wilson Building, ANU, Canberra. Centre for Digital Humanities Research.
Despite many attempts to perturb a scholarly publishing system that is over 350 years old, it feels pretty much like business as usual. I argue that we have become trapped inside the machine, and if we want to change it in an informed way we need to step outside and take a look. First I describe my lens—what I mean by a social machine, and the scholarly social machines ecosystem.
I close with a list of questions that could be workshop discussion points. Presented at the ESWC 2017 Workshop on Enabling Decentralised Scholarly Communication, Portorož - Portorose, May 2017.
This article is a response to the Call for Linked Research. The essay is currently available on www.oerc.ox.ac.uk/sites/default/files/users/user384/scholarly-social-machines.html
Keynote talk for NCRM Stream Analytics workshop, 19 January 2017, Manchester.
My talk is called "New and Emerging Forms of Data: Past, Present, and Future” and I will be giving a perspective from my role as one of the ESRC Strategic Advisers for Data Resources, in which I was responsible for new and emerging forms of data and realtime analytics. The talk also includes some of the current work in the Oxford e-Research Centre on Social Machines (the SOCIAM project) and an introduction to the PETRAS Internet of Things project.
The talk raises a number of important issues looking ahead, including massive scale of data that is already being supplied by Internet of Things, the implications of automation in our research, reproducibility and confidence in research results. I will also ask, how can the new forms of data and new research methods enable social scientists to work in new ways, and can we move on from the dependence on the traditional investment in longitudinal studies?
Plans and Performances: Parallels in the Production of Science and Music, by David De Roure, Graham Klyne, Kevin R. Page, John Pybus, David M. Weigl, Matthew Wilcoxson, and Pip Willcox. Presented at IEEE e-Science 2016, Baltimore, 25 October 2016
"On the Description of Process in Digital Scholarship" Paper at the 1st Workshop on Humanities in the SEmantic web (WHiSE 2016) colocated with ESWC 2016, Heraklion, Crete, Sunday 29 May 2016
Panel position for "10 Years of Web Science" panel at ACM Web Science 2016, Hannover, Germany, Monday 23 May 2016, with panellists:
Steffen Staab, Universität Koblenz-Landau & University of Southampton (chair)
David De Roure, Oxford e-Research Centre, University of Oxford
Susan Halford, University of Southampton
Anni Rowland-Campbell, Intersticia, Web Science Trust & Web Science Institute
Jim Hendler, Rensselaer Polytechnic Institute
"'Tis true. There's magic in the Web: The Short and the Long of Co-Creation, Web Science, and Data Driven Innovation". Keynote for the DATA-DRIVEN INNOVATION WORKSHOP 2016 collocated with ACM Web Science 2016, Hannover, Germany, Sunday 22 May 2016
A dystopian view of our evolving knowledge infrastructure. Talk in session "Reproducibility in new digital scholarship – bigger, faster, better?" at the Alan Turing Institute Symposium on Reproducibility for Data Centric Research, St Hugh's, Oxford, 7th April 2016
Opening talk at the "Interdisciplinary Data Resources to Address the Challenges of Urban Living” Workshop at the Urban Big Data Centre, University of Glasgow, 4 April 2016
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
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15. Web Services RESTful APIs cmd lines ssh http Web Browser Mobile phone iPod Car Equipment PDA P2P mashups workflows services applications Subject ICT experts Computer Scientists Software Companies Workflow tools Ruby on Rails ecosystem Scientists open source Software Engineers nesc